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Название: Segmentation of anatomical structures of the heart based on echocardiography
Авторы: Danilov, Vyacheslav Vladimirovich
Skirnevsky, Igor Petrovich
Gerget, Olga Mikhailovna
Ключевые слова: сегментация; сердце; анатомия; эхокардиография; обработка изображений; визуализация; сердечно-сосудистая система; диагностика
Дата публикации: 2017
Издатель: IOP Publishing
Библиографическое описание: Danilov V. V. Segmentation of anatomical structures of the heart based on echocardiography / V. V. Danilov, I. P. Skirnevsky, O. M. Gerget // Journal of Physics: Conference Series. — 2017. — Vol. 803 : Information Technologies in Business and Industry (ITBI2016) : International Conference, 21–26 September 2016, Tomsk, Russian Federation : [proceedings]. — [012031, 5 p.].
Аннотация: Nowadays, many practical applications in the field of medical image processing require valid and reliable segmentation of images in the capacity of input data. Some of the commonly used imaging techniques are ultrasound, CT, and MRI. However, the main difference between the other medical imaging equipment and EchoCG is that it is safer, low cost, non-invasive and non-traumatic. Three-dimensional EchoCG is a non-invasive imaging modality that is complementary and supplementary to two-dimensional imaging and can be used to examine the cardiovascular function and anatomy in different medical settings. The challenging problems, presented by EchoCG image processing, such as speckle phenomena, noise, temporary non-stationarity of processes, unsharp boundaries, attenuation, etc. forced us to consider and compare existing methods and then to develop an innovative approach that can tackle the problems connected with clinical applications. Actual studies are related to the analysis and development of a cardiac parameters automatic detection system by EchoCG that will provide new data on the dynamics of changes in cardiac parameters and improve the accuracy and reliability of the diagnosis. Research study in image segmentation has highlighted the capabilities of image-based methods for medical applications. The focus of the research is both theoretical and practical aspects of the application of the methods. Some of the segmentation approaches can be interesting for the imaging and medical community. Performance evaluation is carried out by comparing the borders, obtained from the considered methods to those manually prescribed by a medical specialist. Promising results demonstrate the possibilities and the limitations of each technique for image segmentation problems. The developed approach allows: to eliminate errors in calculating the geometric parameters of the heart; perform the necessary conditions, such as speed, accuracy, reliability; build a master model that will be an indispensable assistant for operations on a beating heart.
URI: http://earchive.tpu.ru/handle/11683/38138
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